Volume 12 | Issue 3 |

 Abstract

We must situate ourselves in the spacetime where we exist by "sympoesis" in order to understand the "multiverse." According to Francesca Ferrando and Rosi Braidotti, posthumanism is a convergent situation. If posthumanism is viewed as a convergence, then posthumanism will be viewed from a single point of view after a given amount of time--let's say in the future when we become posthuman. The relativity of spacetime needs to be understood in order to comprehend the convergence and divergence simultaneously. The key topic here is why spacetime interval is significant for posthumanism and what role it plays in shaping post-anthropocentrism. Posthuman consciousness is the central idea of philosophical posthumanism. The era and philosophy of posthumanism are the result of the convergence of several components and influences. This era is based on three axes that represent the evolving nature of beings across time: post-humanism, post-anthropocentrism, and post-dualism. I'd want to make a reference to quantum entanglement in order to dispel any misunderstanding. Albert Einstein referred to it as "spooky action," while John Bell referred to it as a "hidden variable." The physics Nobel laureates Anton Zeilinger, John F. Clauser, and Alain Aspect demonstrated in 2022 that there is no hidden variable, that this "spooky action" is indeed feasible, and that quantum entanglement even paved the way for the development of quantum information science. to transfer data between two locations, maybe on opposite sides of a black hole, that may be more than a few lightyears apart.

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spacetime, posthumanism, quantum entanglement, society, consciousness, etc.

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The development of independent vehicle technology has urged the disquisition of slice- edge control paradigms to ameliorate their effectiveness and safety. This study describes the creation of an independent vehicle simulator that uses fuzzy sense control and inheritable algorithms in a mongrel manner. The simulator acts as a testing and optimization platform for independent vehicle behavior in a controlled environment. The simulator's brain is a fuzzy sense regulator created to replicate the way a mortal motorist makes decisions. Fuzzy sense enables adaptive and environment- apprehensive conduct in response to multitudinous inputs, similar as distance from other buses, speed, and road conditions. Fuzzy sense enables the preface of mortal- suchlike logic and language factors into the control system. The fuzzy sense regulator's performance is bettered by using an optimization inheritable system. The fuzzy sense regulator's parameters are iteratively bettered by the inheritable algorithm, which evolves a population of regulators over several generations. The inheritable algorithm's fitness function is established grounded on a number of performance pointers, similar as completion time, safety, and efficiency. The simulation terrain provides a platform that can be customized with characteristics including colorful road configurations, business patterns, and rainfall scenarios. Real- time definition of the independent auto's behavior is handed through the integrated stoner interface, easing appreciation and analysis. Results from trials show how successful the suggested strategy is. The evolved fuzzy sense regulators showcase bettered performance compared to birth regulators, as apparent from faster completion times and safer navigation in grueling scripts. The versatility and extensibility of the simulator make it a great tool for academics and masterminds working on independent buses , allowing for quick control strategy design, testing, and optimization. In conclusion, the simulation tool for independent vehicles described in this exploration combines evolutionary algorithms with fuzzy sense control to produce a strong platform for designing and optimizing independent vehicle control systems. The use of these styles in a virtual setting demonstrates how they may ameliorate the capabilities of independent buses, advancing the development of dependable and effective independent transportation systems.

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Autonomous simulation

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Meloxicam, Solid dispersions, NSAIDS, Fast disintegrating, Bioavailability.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

???????? ??????? ???? ???????? ????? ????? ????? ????????? ????? ??? ??????? ????????? ???? ??'?? ????? ??? ?????? ???????? ???? ??? ??????????? ????????? ???? ? ????? ????? ?????? ?????? ???? ???? ?? ????? ??????? ??? ????????, ????????, ?????????????, ???????? ??????? ???????? ??????? ???????? ?????? ????? ??? ? ???? ?????? ??? ????????, ???????, ????????, ???????, ???????, ????????? ????? ???????? ???? ?????? ???????? ?? ???? ???, ???? ????? ??? ?? ???? ????????????? ???????? ?????? ???? ???? ??????? ???, ?????????? ?????? ? ????? ??????????? ?????? ????????? ???????? ? ???? ???????? ???? ??? ????? ????? ??? ?? ???? ?? ?????? ??????????? ???????? ?????? ?????? ????????? ???? ???? ????????????, ???????????, ??????????, ???????? ? ???????? ????, ????? ????? ? ??????? - ??????? ????? ??????? ??? ????????? ??? ????? ???????? ???????? ???????? ???????? ????? ??????? ??????? ????? ??????? ???????? ????????? ?????? ????? ????? ??? ?????? ??? ?? ?????????? ????? ??????? ???? ???? ??? ???? ???? ???? ?????? ???? ???? ???? ???? ?????????? ??????? ????? ??????? ????????? ?? ?????? ????????? ???? ??????? ????????? ????? ????? ???? ?????????? ??? ???? ????????? ??? ? ????? ?????????? ???? ???? ??????? ????????

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????????, ???, ????, ??????????, ????????????, ???????, ??????????, ??????, ????????, ???????????

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Creative Commons Attribution 4.0 and The Open Definition

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Friction stir welding, AA 7050, Taguchi Method, Tensile test and Hardness test.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

(????? ???? ??? ?? ???? ??? ???????? ?? ??????? ???????? ????? ???? ?? ???????? ?? ?????? ???? ?? ????? ???? ?????? ??????? ?? ???? ??? ?? ?????????? ??? ??????? ?????????? ?? ???? ?? ??? ???? ?? ???? ?? ???? ?????? ?? ?????? ?? ????? ???? ??? ?? ?????? ??? ?? ????? ????? ???? ?????? ?? ????? ???? ?? ??????? ??-??? ?? ??????? ?? ?????????? ???? ?? ?? ?????? ?? ???? ?? ???? ???, ?? ?? ?? ?? ??? ???? ?? ?????? ?????? ?????? ?????? ?? ????? ???? ???? ???? 2019-21 ?? ?????? ????????? ?????? ????????? ????????? (????????) -5 ?? ?????? ?? ?????? ????? ???? ?? ????? ??????? ?? ?????? ?????? ?? ????? ???? ???? 15-24 ???? ?? ??? ?? ??????? ?? ??????? ???? ????????? ??? 89.4 ?? ??????? ????????? ??? 72.3 ??????? ?? ??? ??? ???? ????????? ?????? ????????? ????????? (????????) -4 ??? ???? 2015-16, ??? ?? ???? ????????? ??? 77.3 ?? ??????? ????????? ??? 57.6 ??????? ???? ???? ??? ??? ????????? ?? ?????? ?? ?????? ????? ???? ?? ???? ??? ??????? ??? ???????? ??? ???????? ??? ??? ??????? ?? ??????? ????? ?? ???????? ??? ????? ???? ????????? ?? ???????? ??? ????? ?? ?????? ???? ????? ???? ???????? ?? ???? ????????????? ????? ?????????? ?? ?????? ??? 70 ??????? ?? ???????? ???? ??? ??? ??????? ??? ????? ??? ?? ?? ???? ??? ??? ?? ??????? ????? ???? ?? ???? ???? ??? 20 ??????? ????? ???? ??? ????????? ???? ??? ????? ??? ??? ?? ?? ???? ??? 88 ??????? ????? ???? ???? ???????? ?????? ????, ???, ???? ?? ???, ??? ?? ????????? ?? ????? ???? ???)

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???? ??? ??????? ???????, ????? ????, ????????? ???????? ????????

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Now a days financial reporting is no longer just about producing financial information. Information seekers receive both financial and non-financial information. Integrated Reporting (IR) is a system for communicating financial and non-financial information in a single report. The current study aims to assess the current state of IR in India, as well as the level of compliance of IR disclosures by chosen corporations with IIRC recommendations, using secondary data. The study clearly indicated that all eight selected firms are sharing human, social, and relation capital-related information in a good manner, and that these companies' disclosure practices will serve as inspiration for other Indian companies to practices integrated reporting freely.

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Integrated Reporting, single report, financial information, relation capital

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Creative Commons Attribution 4.0 and The Open Definition

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The demand for efficient and dependable electronic circuit protection devices has increased with the proliferation of high-velocity digital systems. This paper introduces a unique method to home circuit protection with the improvement of a 3-phase electronic circuit breaker. Traditional mechanical circuit breakers have limitations in terms of reaction time and accuracy. The proposed electronic circuit breaker integrates advanced sensing technologies and microcontroller-based control algorithms to provide unique and efficient safety against overloads, short circuits, and earth faults in three-phase electric systems generally determined in domestic and industrial equipment's. The layout emphasizes compactness, cost-effectiveness, and compatibility with existing electrical infrastructure. Here an Ultrafast electronic circuit breaker is designed which depends on the current detecting across a series component typically a CT (current Transformer).The current sensed is compared with preset value of microcontroller. The microcontroller will consistently check the magnitude of this current against a preset current to guarantee that the current flowing through the circuit isn't over the given rated value. Assuming the current at any point rises over the rated magnitude, the microcontroller initialize the tripping mechanism which cutoff the circuit. The Experimental effects reveal the superior overall performance of the electronic circuit breaker in terms of response time, reliability, and flexibility in comparison to conventional counterparts. This innovation promises to decorate safety and reliability in home electrical installations even as paving the manner for clever grid integration and energy management applications.

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KEYWORDS: Ultrafast circuit breaker, Overload, Over-current, Microcontroller, Relay, CT (current

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This article aims to forecast gold prices (GLD) using financial indicators such as the S&P 500 index (SPX), US Oil Fund (USO), Silver Trust (SLV), and the Euro to US Dollar exchange rate (EUR/USD). The target variable GLD and the features SPX, USO, SLV, and EUR/USD are included in the dataset, which dates back to January 2, 2008. In order to capture complex interactions within the financial data, we have applied a variety of machine learning methods, including decision trees, linear regression, lasso regressions, ridge regressions, and random forests. We have also used the most comprehensive set of characteristics to predict the price of gold in this article. Kaggle's dataset was used for both testing and training. The COLAB notebook was utilized to implement Python programming since it is the greatest tool and has a variety of libraries and header files that improve the accuracy and precision of the work. The model has important ramifications since it gives analysts and investors a predictive tool to help them make wise decisions. This improves risk assessment and portfolio management in the volatile gold market. This concept can also be used in the financial sector to assist more intelligent investing strategies.

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Data Preprocessing, Random Forest, Decision Tree, Linear regression, Lasso regression, Ridge regression, Machine learning, Python

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The objective of this project is to improve roadway management for autonomous vehicles by implementing AI-powered damage detection and lane detection systems. The primary focus is to develop algorithms that can accurately identify road damage and detect lane markings in real-time. By leveraging machine learning and computer vision techniques, this system aims to enhance safety and efficiency on roadways. The damage detection component will help self-driving cars navigate around obstacles and hazards effectively, while the lane detection feature ensures precise vehicle positioning within designated lanes. Overall, this integrated approach aims to improve the capabilities of autonomous vehicles, contributing to safer and more reliable transportation systems.

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YOLOv8, Canny edge detection, roadway management, AI-powered damage detection, lane detection, self-driving cars, machine learning, computer vision, real-time detection, transportation safety.

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Creative Commons Attribution 4.0 and The Open Definition